转录调控网络模块和模体识别算法研究进展  

Advances in algorithms for modular and motif identification of transcriptional regulatory networks research

作　　者：邹青宇[1] 刘富[1] 侯涛[1] 

机构地区：[1]吉林大学通信工程学院,长春130022

出　　处：《计算机应用研究》2012年第11期4006-4010,4016,共6页Application Research of Computers

基　　金：国家自然科学基金资助项目(51105170);吉林省科技发展计划资助项目(10100505)

摘　　要：转录调控网络是生物体遗传信息传递的整体表示,是人们理解基因表达过程的重要内容。识别转录调控网络的模块和模体是分析网络拓扑结构和组织方式的重要方法,是揭示转录调控机制、生物发育与进化过程的重要环节之一。通过分析比较近年来用于转录调控网络模块识别的三类典型算法,阐述了它们各自的优势和不足。介绍了一种被广泛使用的转录调控网络模体识别算法。以此为基础,提出了转录调控网络模块和模体识别算法未来的研究方向。Passing transcriptional regulatory network as a whole of genetic information transmit is important for researchers to understand the gene expression.Identifying modules and motifs of them is a significant mean of analysis of topology and organization of network,and is one of the most important procedure to research the principle of transcription and the process of developmental and evolvement of organisms.This paper described the advantages and disadvantages of three algorithms for network modules identification in recent years by analysing and comparing.Then it introduced an algorithm that widely used for motif identification.Based on these problems,it presented some future research trends.

关 键 词：转录调控网络 模块 模体 识别 算法 

分 类 号：TP391[自动化与计算机技术—计算机应用技术] O235[自动化与计算机技术—计算机科学与技术]